Mobile devices, sensors, people in social media generate and provide live content continuously. When big data from various sources in greater volumes is generated swiftly, the value in real-time data and insights are getting more important each day. Organizations now need to respond to customer requests in real time, manage assets and to inform & … Continue reading Innovation with Real-Time Data and Insights
The financial services sector has been traditionally a data-rich industry. With the enormous amount of data generated by different sources, Fin-Tech Industry is now in need of Big Data technologies more than ever (who isn’t?). Big data has opened a new passage to fin-tech with cutting-edge technologies such as innovative equity platforms based on crowd … Continue reading Big Data Use Cases in the Fin-Tech Industry
You might think the history of Data Mining started very recently as it is commonly considered with new technology. However data mining is a discipline with a long history. It starts with the early Data Mining methods Bayes’ Theorem (1700`s) and Regression analysis (1800`s) which were mostly identifying patterns in data. In this article, we … Continue reading The History of data mining
You have a customer in need, you have valuable data and you have the ability of finding the solution from that data. Now it is time to put the cherry on top by building a data product! A data product is built to addresses a particular type of a problem and it enables an end … Continue reading How to Build a Great Data Product?
Technology created a monster. Customers demand more personalized services, presented to them without even having to look for themselves, with faster access. It is that time, companies are proactively notifying customers of what is relevant to their preferences and push customers to take action. This is no different in the travel industry. As a matter … Continue reading How Big Data Analytics is Transforming the Travel Industry
A supermarket sends their customer an e-mail indicating his/her brown sugar is about to finish and they ask if he/she needs some more. The customer thinks: HOW do they know? Well at least, we know they are not reading minds yet; it is just Predictive Analytics algorithms processing Big Data patterns. Retail industry, by its … Continue reading How to Win with Predictive Analytics in Retail?
Since the insurance industry is founded on estimating future events and measuring the risk/value of these events; volume, velocity, veracity and variety of massive datasets has become an essential tool for insurers. With new data sources such as telematics, sensors, government, customer interactions and social media, the opportunity to utilize big data is more appealing … Continue reading Top 7 Big Data Use Cases in Insurance Industry